| dc.contributor.advisor | Hussein, Noha | |
| dc.contributor.author | Yahya, Nada Abdul Qader Omar | |
| dc.date.accessioned | 2023-09-19T05:46:57Z | |
| dc.date.available | 2023-09-19T05:46:57Z | |
| dc.date.issued | 2022-12 | |
| dc.identifier.other | 35.232-2022.64 | |
| dc.identifier.uri | http://hdl.handle.net/11073/25348 | |
| dc.description | A Master of Science thesis in Engineering Systems Management by Nada Abdul Qader Omar Yahya entitled, “Anomaly Detection Based Framework for Profile Monitoring”, submitted in December 2022. Thesis advisor is Dr. Noha Hussein. Soft copy is available (Thesis, Completion Certificate, Approval Signatures, and AUS Archives Consent Form). | en_US |
| dc.description.sponsorship | College of Engineering | en_US |
| dc.description.sponsorship | Department of Industrial Engineering | en_US |
| dc.language.iso | en_US | en_US |
| dc.relation.ispartofseries | Master of Science in Engineering Systems Management (MSESM) | en_US |
| dc.subject | Solar power tower | en_US |
| dc.subject | Levelized cost of energy | en_US |
| dc.subject | Field optical efficiency | en_US |
| dc.subject | Artificial neural networks | en_US |
| dc.title | Optimizing a Concentrated Solar Power Tower Plant using Artificial Neural Networks | en_US |
| dc.type | Thesis | en_US |
